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. We develop and apply both emerging tools and techniques to insect genomics and have resources to support development of rich datasets for asking complex questions and collaborate broadly across many
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studies and techniques, insect identification, and statistical analysis of ecological data. Opportunities to learn insect rearing and testing of vector competence for VSV will be available. The fellow will
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analysis of laboratory assay readouts, or processing and analyzing transcriptomics data (bulk or single-cell RNA-seq). Learning Objectives: Under the guidance of a mentor, the participant will have the
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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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Throughout your participation, you will have the opportunity to advance your skills in laboratory techniques, methods development, data analysis, and scientific communication. In addition, you will participate
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phytochemicals, including extract preparation, chromatography, and bioassay-guided fractionation in collaboration with chemists. Data analysis and interpretation, including statistical evaluation of dose–response
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, screening of biofilm formation, pathogen protection in biofilm, metagenomic shotgun sequencing and analysis, evaluation of decontamination/sanitation strategies in the cattle farm environment and statistical
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formation, pathogen protection in biofilm, metagenomic shotgun sequencing and analysis, evaluation of decontamination/sanitation strategies in the cattle farm environment and statistical analysis related
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(21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (45 ) Mathematics and Statistics (10 ) Other Non-Science & Engineering (2 ) Physics (16